Stm: An R package for structural topic models

Margaret E. Roberts; Brandon M. Stewart; Dustin Tingley

doi:10.18637/jss.v091.i02

Stm: An R package for structural topic models

Margaret E. Roberts, Brandon M. Stewart, Dustin Tingley

Research output: Contribution to journal › Article › peer-review

896 Scopus citations

Abstract

This paper demonstrates how to use the R package stm for structural topic modeling. The structural topic model allows researchers to flexibly estimate a topic model that includes document-level metadata. Estimation is accomplished through a fast variational approximation. The stm package provides many useful features, including rich ways to explore topics, estimate uncertainty, and visualize quantities of interest.

Original language	English (US)
Journal	Journal of Statistical Software
Volume	91
DOIs	https://doi.org/10.18637/jss.v091.i02
State	Published - 2019

All Science Journal Classification (ASJC) codes

Software
Statistics and Probability
Statistics, Probability and Uncertainty

Keywords

LDA
R
Stm
Structural topic model
Text analysis

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10.18637/jss.v091.i02

Cite this

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title = "Stm: An R package for structural topic models",

abstract = "This paper demonstrates how to use the R package stm for structural topic modeling. The structural topic model allows researchers to flexibly estimate a topic model that includes document-level metadata. Estimation is accomplished through a fast variational approximation. The stm package provides many useful features, including rich ways to explore topics, estimate uncertainty, and visualize quantities of interest.",

keywords = "LDA, R, Stm, Structural topic model, Text analysis",

author = "Roberts, {Margaret E.} and Stewart, {Brandon M.} and Dustin Tingley",

year = "2019",

doi = "10.18637/jss.v091.i02",

language = "English (US)",

volume = "91",

journal = "Journal of Statistical Software",

issn = "1548-7660",

publisher = "University of California at Los Angeles",

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TY - JOUR

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T2 - An R package for structural topic models

AU - Roberts, Margaret E.

AU - Stewart, Brandon M.

AU - Tingley, Dustin

PY - 2019

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AB - This paper demonstrates how to use the R package stm for structural topic modeling. The structural topic model allows researchers to flexibly estimate a topic model that includes document-level metadata. Estimation is accomplished through a fast variational approximation. The stm package provides many useful features, including rich ways to explore topics, estimate uncertainty, and visualize quantities of interest.

KW - LDA

KW - R

KW - Stm

KW - Structural topic model

KW - Text analysis

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UR - http://www.scopus.com/inward/citedby.url?scp=85074464991&partnerID=8YFLogxK

U2 - 10.18637/jss.v091.i02

DO - 10.18637/jss.v091.i02

M3 - Article

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SN - 1548-7660

VL - 91

JO - Journal of Statistical Software

JF - Journal of Statistical Software

ER -

Stm: An R package for structural topic models

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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